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DBMS > H2 vs. HugeGraph vs. Riak KV vs. SQL.JS

System Properties Comparison H2 vs. HugeGraph vs. Riak KV vs. SQL.JS

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Editorial information provided by DB-Engines

Name

Description

Full-featured RDBMS with a small footprint, either embedded into a Java application or used as a database server.

A fast-speed and highly-scalable Graph DBMS

Distributed, fault tolerant key-value store

Port of SQLite to JavaScript

Primary database model

Relational DBMS

Key-value store

with links between data sets and object tags for the creation of secondary indexes

Relational DBMS

Secondary database models

DB-Engines Ranking measures the popularity of database management systems
Trend Chart

Score	8.13
Rank	#49	Overall
	#31	Relational DBMS

Score	0.13
Rank	#336	Overall
	#32	Graph DBMS

Score	4.10
Rank	#82	Overall
	#9	Key-value stores

Score	0.53
Rank	#252	Overall
	#116	Relational DBMS

Website

www.h2database.com

github.com/hugegraph
hugegraph.apache.org

Technical documentation

www.h2database.com/html/main.html

hugegraph.apache.org/docs

www.tiot.jp/riak-docs/riak/kv/latest

sql.js.org/documentation/index.html

Developer

Thomas Mueller

Baidu

OpenSource, formerly Basho Technologies

Alon Zakai

enhancements implemented by others

Initial release

2005

2018

2009

2012

Current release

2.2.220, July 2023

0.9

3.2.0, December 2022

License

Commercial or Open Source

Open Source

dual-licence (Mozilla public license, Eclipse public license)

Open Source

Apache Version 2.0

Open Source

Apache version 2, commercial enterprise edition

Open Source

Cloud-based only

Only available as a cloud service

no

no

no

no

DBaaS offerings (sponsored links)

Database as a Service

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Implementation language

Java

Java

Erlang

JavaScript

Server operating systems

All OS with a Java VM

Linux
macOS
Unix

Linux
OS X

server-less, requires a JavaScript environment (browser, Node.js)

Data scheme

yes

yes

schema-free

yes

Typing

predefined data types such as float or date

yes

yes

no

yes

XML support

Some form of processing data in XML format, e.g. support for XML data structures, and/or support for XPath, XQuery or XSLT.

no

no

no

no

Secondary indexes

yes

yes

also supports composite index and range index

restricted

SQL

Support of SQL

yes

no

no

yes

SQL-92 is not fully supported

APIs and other access methods

JDBC
ODBC

Java API
RESTful HTTP API
TinkerPop Gremlin

HTTP API
Native Erlang Interface

JavaScript API

Supported programming languages

Java

Groovy
Java
Python

C

unofficial client library
C#
C++

unofficial client library
Clojure

unofficial client library
Dart

unofficial client library
Erlang
Go

unofficial client library
Groovy

unofficial client library
Haskell

unofficial client library
Java
JavaScript

unofficial client library
Lisp

unofficial client library
Perl

unofficial client library
PHP
Python
Ruby
Scala

unofficial client library
Smalltalk

unofficial client library

JavaScript

Server-side scripts

Stored procedures

Java Stored Procedures and User-Defined Functions

asynchronous Gremlin script jobs

Erlang

no

Triggers

yes

no

yes

pre-commit hooks and post-commit hooks

no

Partitioning methods

Methods for storing different data on different nodes

none

yes

depending on used storage backend, e.g. Cassandra and HBase

Sharding

no "single point of failure"

none

Replication methods

Methods for redundantly storing data on multiple nodes

With clustering: 2 database servers on different computers operate on identical copies of a database

yes

depending on used storage backend, e.g. Cassandra and HBase

selectable replication factor

none

MapReduce

Offers an API for user-defined Map/Reduce methods

no

via hugegraph-spark

yes

no

Consistency concepts

Methods to ensure consistency in a distributed system

Immediate Consistency

Eventual Consistency

Eventual Consistency

none

Foreign keys

Referential integrity

yes

yes

edges in graph

no

links between data sets can be stored

yes

Transaction concepts

Support to ensure data integrity after non-atomic manipulations of data

ACID

ACID

no

ACID

Concurrency

Support for concurrent manipulation of data

yes, multi-version concurrency control (MVCC)

yes

yes

Durability

Support for making data persistent

yes

yes

yes

no

except by serializing a db to a file

In-memory capabilities

Is there an option to define some or all structures to be held in-memory only.

yes

yes

yes

User concepts

Access control

fine grained access rights according to SQL-standard

Users, roles and permissions

yes, using Riak Security

no

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More resources

DB-Engines blog posts

New kids on the block: database management systems implemented in JavaScript
1 December 2014, Matthias Gelbmann

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